Pitfalls of Epistemic Uncertainty Quantification through Loss Minimisation
Viktor Bengs - NeurIPS 2022
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Deep Ensembles Work, But Are They Necessary?
E. Kelly Buchanan - NeurIPS 2022
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Interpretable Self-Aware Neural Networks for Robust Trajectory Prediction
Masha Itkina - CoRL 2022
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Uncertainty-Aware Reinforcement Learning for Risk-Sensitive Player Evaluation in Sports Game
Yudong Luo - NeurIPS 2022
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Masksembles for Uncertainty Estimation
Nikita Durasov - CVPR 2021
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NOMU - Neural Optimization-based Model Uncertainty
Jakob Heiss - ICML 2022
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An Impartial Take to the CNN vs Transformer Robustness Contest
Francesco Pinto - ECCV 2022